Struct SmallRng
pub struct SmallRng(/* private fields */);Expand description
A small-state, fast, non-crypto, non-portable PRNG
This is the “standard small” RNG, a generator with the following properties:
- Non-portable: any future library version may replace the algorithm and results may be platform-dependent. (For a small portable generator, use the rand_pcg or rand_xoshiro crate.)
- Non-cryptographic: output is easy to predict (insecure)
- Quality: statistically good quality
- Fast: the RNG is fast for both bulk generation and single values, with consistent cost of method calls
- Fast initialization
- Small state: little memory usage (current state size is 16-32 bytes depending on platform)
The current algorithm is
Xoshiro256PlusPlus on 64-bit platforms and Xoshiro128PlusPlus on 32-bit
platforms. Both are also implemented by the rand_xoshiro crate.
§Seeding (construction)
This generator implements the SeedableRng trait. All methods are
suitable for seeding, but note that, even with a fixed seed, output is not
portable. Some suggestions:
- To automatically seed with a unique seed, use
rand::make_rng():use rand::rngs::SmallRng; let mut rng: SmallRng = rand::make_rng(); - To use a deterministic integral seed, use
seed_from_u64. This uses a hash function internally to yield a (typically) good seed from any input.let rng = SmallRng::seed_from_u64(1); - To seed deterministically from text or other input, use
rand_seeder.
See also Seeding RNGs in the book.
§Generation
The generators implements Rng and thus also Rng.
See also the Random Values chapter in the book.
Trait Implementations§
§impl SeedableRng for SmallRng
impl SeedableRng for SmallRng
§type Seed = [u8; 32]
type Seed = [u8; 32]
Seed type, which is restricted to types mutably-dereferenceable as
u8
arrays (we recommend [u8; N] for some N). Read more§fn from_seed(seed: <SmallRng as SeedableRng>::Seed) -> SmallRng
fn from_seed(seed: <SmallRng as SeedableRng>::Seed) -> SmallRng
Create a new PRNG using the given seed. Read more
§fn seed_from_u64(state: u64) -> SmallRng
fn seed_from_u64(state: u64) -> SmallRng
Create a new PRNG using a
u64 seed. Read more§impl TryRng for SmallRng
impl TryRng for SmallRng
§type Error = Infallible
type Error = Infallible
The type returned in the event of a RNG error. Read more
§fn try_next_u32(&mut self) -> Result<u32, Infallible>
fn try_next_u32(&mut self) -> Result<u32, Infallible>
Return the next random
u32.§fn try_next_u64(&mut self) -> Result<u64, Infallible>
fn try_next_u64(&mut self) -> Result<u64, Infallible>
Return the next random
u64.§fn try_fill_bytes(&mut self, dest: &mut [u8]) -> Result<(), Infallible>
fn try_fill_bytes(&mut self, dest: &mut [u8]) -> Result<(), Infallible>
Fill
dst entirely with random data.impl Eq for SmallRng
impl StructuralPartialEq for SmallRng
Auto Trait Implementations§
impl Freeze for SmallRng
impl RefUnwindSafe for SmallRng
impl Send for SmallRng
impl Sync for SmallRng
impl Unpin for SmallRng
impl UnsafeUnpin for SmallRng
impl UnwindSafe for SmallRng
Blanket Implementations§
§impl<R> TryRngCore for Rwhere
R: TryRng,
impl<R> TryRngCore for Rwhere
R: TryRng,
Source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
Source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
Source§impl<T> CloneToUninit for Twhere
T: Clone,
impl<T> CloneToUninit for Twhere
T: Clone,
§impl<Q, K> Equivalent<K> for Q
impl<Q, K> Equivalent<K> for Q
§fn equivalent(&self, key: &K) -> bool
fn equivalent(&self, key: &K) -> bool
Checks if this value is equivalent to the given key. Read more
§impl<Q, K> Equivalent<K> for Q
impl<Q, K> Equivalent<K> for Q
§fn equivalent(&self, key: &K) -> bool
fn equivalent(&self, key: &K) -> bool
Compare self to
key and return true if they are equal.§impl<T> Instrument for T
impl<T> Instrument for T
§fn instrument(self, span: Span) -> Instrumented<Self>
fn instrument(self, span: Span) -> Instrumented<Self>
§fn in_current_span(self) -> Instrumented<Self>
fn in_current_span(self) -> Instrumented<Self>
Source§impl<T> IntoEither for T
impl<T> IntoEither for T
Source§fn into_either(self, into_left: bool) -> Either<Self, Self>
fn into_either(self, into_left: bool) -> Either<Self, Self>
Converts
self into a Left variant of Either<Self, Self>
if into_left is true.
Converts self into a Right variant of Either<Self, Self>
otherwise. Read moreSource§fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
Converts
self into a Left variant of Either<Self, Self>
if into_left(&self) returns true.
Converts self into a Right variant of Either<Self, Self>
otherwise. Read more§impl<T> Pointable for T
impl<T> Pointable for T
§impl<R> Rng for Rwhere
R: TryRng<Error = Infallible> + ?Sized,
impl<R> Rng for Rwhere
R: TryRng<Error = Infallible> + ?Sized,
§impl<R> RngExt for R
impl<R> RngExt for R
§fn random<T>(&mut self) -> Twhere
StandardUniform: Distribution<T>,
fn random<T>(&mut self) -> Twhere
StandardUniform: Distribution<T>,
Return a random value via the
StandardUniform distribution. Read more§fn random_iter<T>(self) -> Iter<StandardUniform, Self, T>where
Self: Sized,
StandardUniform: Distribution<T>,
fn random_iter<T>(self) -> Iter<StandardUniform, Self, T>where
Self: Sized,
StandardUniform: Distribution<T>,
§fn random_range<T, R>(&mut self, range: R) -> Twhere
T: SampleUniform,
R: SampleRange<T>,
fn random_range<T, R>(&mut self, range: R) -> Twhere
T: SampleUniform,
R: SampleRange<T>,
Generate a random value in the given range. Read more
§fn random_bool(&mut self, p: f64) -> bool
fn random_bool(&mut self, p: f64) -> bool
Return a bool with a probability
p of being true. Read more§fn random_ratio(&mut self, numerator: u32, denominator: u32) -> bool
fn random_ratio(&mut self, numerator: u32, denominator: u32) -> bool
Return a bool with a probability of
numerator/denominator of being
true. Read more§fn sample<T, D>(&mut self, distr: D) -> Twhere
D: Distribution<T>,
fn sample<T, D>(&mut self, distr: D) -> Twhere
D: Distribution<T>,
Sample a new value, using the given distribution. Read more
§fn sample_iter<T, D>(self, distr: D) -> Iter<D, Self, T>where
D: Distribution<T>,
Self: Sized,
fn sample_iter<T, D>(self, distr: D) -> Iter<D, Self, T>where
D: Distribution<T>,
Self: Sized,
Create an iterator that generates values using the given distribution. Read more
§impl<SS, SP> SupersetOf<SS> for SPwhere
SS: SubsetOf<SP>,
impl<SS, SP> SupersetOf<SS> for SPwhere
SS: SubsetOf<SP>,
§fn to_subset(&self) -> Option<SS>
fn to_subset(&self) -> Option<SS>
The inverse inclusion map: attempts to construct
self from the equivalent element of its
superset. Read more§fn is_in_subset(&self) -> bool
fn is_in_subset(&self) -> bool
Checks if
self is actually part of its subset T (and can be converted to it).§fn to_subset_unchecked(&self) -> SS
fn to_subset_unchecked(&self) -> SS
Use with care! Same as
self.to_subset but without any property checks. Always succeeds.§fn from_subset(element: &SS) -> SP
fn from_subset(element: &SS) -> SP
The inclusion map: converts
self to the equivalent element of its superset.